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149
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CPAIOR
2008
Springer
15 years 5 months ago
The Accuracy of Search Heuristics: An Empirical Study on Knapsack Problems
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...
Daniel H. Leventhal, Meinolf Sellmann
128
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EOR
2011
134views more  EOR 2011»
14 years 10 months ago
Linear programming based decomposition methods for inventory distribution systems
We consider an inventory distribution system consisting of one warehouse and multiple retailers. The retailers face random demand and are supplied by the warehouse. The warehouse ...
Sumit Kunnumkal, Huseyin Topaloglu
127
Voted
TCBB
2008
122views more  TCBB 2008»
15 years 3 months ago
Mixed Integer Linear Programming for Maximum-Parsimony Phylogeny Inference
Reconstruction of phylogenetic trees is a fundamental problem in computational biology. While excellent heuristic methods are available for many variants of this problem, new adva...
Srinath Sridhar, Fumei Lam, Guy E. Blelloch, R. Ra...
143
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CORR
2012
Springer
185views Education» more  CORR 2012»
13 years 11 months ago
Bayesian network learning with cutting planes
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
James Cussens
EMMCVPR
2005
Springer
15 years 9 months ago
Reverse-Convex Programming for Sparse Image Codes
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...
Matthias Heiler, Christoph Schnörr